michael dddd
Software Engineer, Databricks

Michael Armbrust is the lead developer of the Spark SQL project at Databricks. He received his PhD from UC Berkeley in 2013, and was advised by Michael Franklin, David Patterson and Armando Fox. His thesis focused on building systems that allow developers to rapidly build scalable interactive applications, and specifically defined the notion of scale independence. His interests broadly include distributed systems, large-scale structured storage and query optimization.

Spark Camp, organized by the creators of the Apache Spark project at Databricks, will be a day long hands-on introduction to the Spark platform including Spark Core, the Spark Shell, Spark Streaming, Spark SQL, MLlib, and more.
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In this talk Michael will describe Spark SQL, the newest component of the Apache Spark stack. A key feature of Spark SQL is the ability to blur the lines between relational tables and RDDs, making it easy for developers to intermix SQL commands that query structured data with complex analytics in imperative or functional languages.
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